2025 年 6 月 9 日 晨会速递 2025 年 5 月美国新增就业高于市场预期，失业率也稳定在 4.2%，显示美国就业市场 相对稳健。其中，5 月底美国迎来阵亡将士纪念日，拉动出行需求，休闲酒店业新增 就业升至+4.8 万人，高于前值的+2.9 万人，是 5 月就业数据保持稳定的主要贡献项。 从降息节奏看，5 月非农数据相对稳健，强化美联储观望态度，市场预期 6 月美联储 将不再降息，首次降息时间为 9 月。 【策略】内外因素交织，市场或维持整固状态——策略周专题（2025 年 6 月第 1 期） 内外因素交织下，仍然维持此前观点，预计指数整体将维持震荡。短期外部风险扰动 最严重的时候或许已经过去，但仍需要对特朗普后续政策的反复保持警惕。近期国内 政策仍积极发力，预计后续政策仍将持续落地。随着中美两国为"对等关税"按下 90 天"暂停键"，短期内出口或将保持高增，预计消费仍是经济修复的重要动能之 一。内外因素交织之下，预计指数 6 月整体将保持震荡。 【债券】REITs 二级市场价格上涨，新增一只能源类产品申报——REITs 周度观察 （20250603-20250606） 2025 年 6 月 3 日 ...

Investment Rating - The report indicates a cautious investment rating for major broad-based indices as of May 23, 2025, with the ChiNext Index classified as "safe" and other indices categorized as "moderate" [19][22]. Core Insights - The market experienced a contraction with major indices declining during the week of May 19-23, 2025. The report highlights a rapid rotation in themes, with precious metals and automotive sectors performing well. However, the "dividend + micro-cap" strategy showed signs of short-term adjustment after reaching a yearly high, suggesting a potential decline in trading preferences [12][13]. - The report emphasizes that liquidity easing and rising risk appetite are expected to drive a rebound in A-shares in the medium to long term, with "dividend + small-cap" combinations being the preferred allocation strategy post-adjustment [12]. Summary by Sections Market Review - Major indices saw declines: Shanghai Composite Index down 0.57%, SSE 50 down 0.18%, CSI 300 down 0.18%, CSI 500 down 1.10%, CSI 1000 down 1.29%, ChiNext Index down 0.88%, and North Star 50 down 3.68% [13][14]. Valuation Analysis - As of May 23, 2025, the ChiNext Index is in the "safe" valuation percentile, while other major indices are in the "moderate" range. In terms of sector valuation, industries such as construction materials, light industry manufacturing, power equipment and new energy, defense and military, computer, and comprehensive finance are classified as "dangerous," while non-ferrous metals, utilities, home appliances, food and beverage, agriculture, non-bank financials, and transportation are deemed "safe" [19][20]. Fund Flow Tracking - The report notes that institutional interest was highest for stocks like Huichuan Technology (352 institutions), Fuchuang Precision (109), Bozhong Precision (106), Boshi Software (102), and Shengmei Shanghai (101) during the week [51]. - Southbound capital saw a net inflow of 18.96 billion HKD, with the Shanghai-Hong Kong Stock Connect contributing 19.05 billion HKD and the Shenzhen-Hong Kong Stock Connect experiencing a net outflow of 0.97 billion HKD [3]. Sector Performance - The top five performing sectors this week were comprehensive, pharmaceuticals, automotive, non-ferrous metals, and home appliances, while the worst performers included comprehensive finance, computers, electronics, machinery, and communications [15]. Institutional Research - A total of 379 institutional research activities were recorded, with the majority focused on companies listed in Shenzhen and Shanghai. The report highlights that specific object research and other types accounted for 78.36% and 8.71% of the total, respectively [42][46].

- Model Name: Volume Timing Model; Model Construction Idea: The model uses volume indicators to maintain a cautious view under the background of shrinking volume; Model Construction Process: The volume timing signal for major broad-based indices is calculated and maintained a cautious view as of May 23, 2025[1][2][22]; Model Evaluation: The model is effective in maintaining a cautious stance during periods of shrinking volume[22] - Factor Name: Upward Number Ratio of CSI 300; Factor Construction Idea: The factor calculates the proportion of stocks with positive returns in the CSI 300 index to judge market sentiment; Factor Construction Process: - CSI 300 Index N-day Upward Number Ratio = Number of CSI 300 Index constituent stocks with positive returns in the past N days / Total number of CSI 300 Index constituent stocks - The factor captures upward opportunities quickly and exits early during overheated market phases, but has limitations in avoiding downward risks[23][24][25]; Factor Evaluation: The factor is effective in capturing upward opportunities but has limitations in avoiding downward risks[24] - Factor Name: Moving Average Sentiment Indicator; Factor Construction Idea: The factor uses the eight moving average system to judge the trend state of the target index; Factor Construction Process: - Calculate the eight moving average values of the CSI 300 closing price with parameters 8, 13, 21, 34, 55, 89, 144, 233 - Assign values to the eight moving average indicator based on the interval value: -1 for intervals 1/2/3, 0 for intervals 4/5/6, and 1 for intervals 7/8/9 - When the current price exceeds the eight moving average indicator value in more than 5 cases, it indicates a bullish view on the CSI 300 index[27][31][32]; Factor Evaluation: The factor is effective in indicating the trend state of the CSI 300 index[34] - Factor Name: Cross-sectional Volatility; Factor Construction Idea: The factor measures the cross-sectional volatility of index constituent stocks to evaluate the Alpha environment; Factor Construction Process: - Calculate the cross-sectional volatility of CSI 300, CSI 500, and CSI 1000 index constituent stocks - Recent cross-sectional volatility of CSI 300 and CSI 500 index constituent stocks has decreased, indicating a worse short-term Alpha environment; CSI 1000 index constituent stocks' cross-sectional volatility has increased, indicating a better short-term Alpha environment[35][36][38]; Factor Evaluation: The factor is effective in evaluating the Alpha environment based on cross-sectional volatility[38] - Factor Name: Time Series Volatility; Factor Construction Idea: The factor measures the time series volatility of index constituent stocks to evaluate the Alpha environment; Factor Construction Process: - Calculate the time series volatility of CSI 300, CSI 500, and CSI 1000 index constituent stocks - Recent time series volatility of CSI 300, CSI 500, and CSI 1000 index constituent stocks has decreased, indicating a worse short-term Alpha environment[39][41]; Factor Evaluation: The factor is effective in evaluating the Alpha environment based on time series volatility[41] Model Backtest Results - Volume Timing Model, cautious view for all major broad-based indices as of May 23, 2025[23] Factor Backtest Results - Upward Number Ratio of CSI 300, recent ratio around 56%[24] - Moving Average Sentiment Indicator, short-term bullish view on CSI 300 index[34] - Cross-sectional Volatility, recent values for CSI 300: 1.75%, CSI 500: 2.04%, CSI 1000: 2.41%[38] - Time Series Volatility, recent values for CSI 300: 0.56%, CSI 500: 0.44%, CSI 1000: 0.27%[41]